Answer:
180 cm2
Area of a polyhedron:
15(=base)x12(=height)
=180cm2
btw parallelogram is a 2D pic how you can come out a ''base'' and ''height''? It should be called a polyhedron. Your question is weird.
If so, your ''area of parallelogram'' is 15cm2 since your question is hecking weird.
Btw it's 15cm2 not 15
Please check ur question b4 u ask
Answer:
d. The histogram would be approximately bell-shaped, and the normal quantile plot would have data points have follow a straight-line pattern.
Step-by-step explanation:
Since the variable is normally distributed, the histogram of women's height should be approximately bell shaped (if the data was obtained form a random sample).
Again, the variable is normally distributed, therefore, the quantile plot should follow a straight line pattern (a diagonal line to be more precise).
<h2><u><em>
1st one - not similar diff ratio</em></u></h2><h2><u><em>
</em></u></h2><h2><u><em>
2nd- similar</em></u></h2><h2><u><em>
</em></u></h2><h2><u><em>
3rd- not similar diff shape</em></u></h2><h2><u><em>
</em></u></h2><h2><u><em>
4- not similar diff ratio</em></u></h2><h2><u><em>
</em></u></h2><h2><u><em>
5- similar</em></u></h2><h2><u><em>
</em></u></h2><h2><u><em>
6- not so sure but i would go w either not similar diff shape or similar</em></u></h2>
Answer:
The mean is 0.54 and the standard deviation is 0.05.
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean and standard deviation , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation .
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a sample proportion p in a sample of size n, the mean of the sampling distribution is p and the standard deviation is .
In this problem:
So
Mean 0.54
Standard deviation .
The mean is 0.54 and the standard deviation is 0.05.